• Contribute to the design, orchestration, and development of ongoing data science projects from data ingestion to presentation • Work with platform engineers and others to develop tools/frameworks needed to carry out projects • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Synthesize insights from raw data • Build dashboards and other visualizations; communicate findings internally and externally • Research new data engineering and analytics methodologies with minimal guidance and support from other team members • Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed • Write, test, and deploy efficient, scalable code to production that impacts millions of individuals • Generate ideas for new initiatives and technologies • Communicate with project leads, product managers and other software developers